Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
A Longitudinal Analysis of the CEC Single-Objective Competitions (2010-2024) and Implications for Variational Quantum Optimization
Vojtěch Novák, Tomáš Bezděk, Ivan Zelinka +2 more·Mar 25, 2026
This paper provides a historical analysis of the IEEE CEC Single Objective Optimization competition results (2010-2024). We analyze how benchmark functions shaped winning algorithms, identifying the 2014 introduction of dense rotation matrices as a k...
Kinetics-Driven Selective Stoichiometric Shift and Structural Asymmetry in $Bi_4Te_3$ Nanostructures for Hybrid Quantum Architectures
Abdur Rehman Jalil, H. Valencia, Christoph Ringkamp +6 more·Mar 25, 2026
Advances in hybrid quantum architectures hinge on topological materials that can be synthesized with precise stoichiometric and structural control at the nanoscale. While $Bi_4Te_3$ is a promising candidate due to its dual topological phases, acting ...
Reaching for the performance limit of hybrid density functional theory for molecular chemistry
Jiashu Liang, Martin Head-Gordon·Mar 24, 2026
Density functional theory (DFT) offers an exceptional balance between accuracy and efficiency, but practical density functional approximations face an unavoidable trade-off among simplicity, accuracy, and transferability. A systematic protocol is the...
Markov State--Space Modeling and Channel Characterization for DNA-Based Molecular Communication
Ruifeng Zheng, Zhihan Xu, Veronika Volkova +5 more·Mar 24, 2026
In this paper, we study DNA-based molecular communication with microarray-style reception under reversible hybridization, where the bound-state observation exhibits both inter-symbol interference and colored counting noise. To capture these effects i...
Dark Matter Detection through Rydberg Atom Transducer
J. F. Chen, Haokun Fu, Christina Gao +5 more·Mar 24, 2026
Ultralight bosonic dark matter with masses in the meV range, corresponding to terahertz (THz) Compton frequencies, remains largely unexplored due to the difficulty of achieving both efficient signal conversion and single-photon-sensitive detection at...
Solving Nonlinear Partial Differential Equations via a Hybrid Newton Method Using Quantum Linear System Solver
Maximilian Mandelt Buxadé, Stefan Langer, Philipp Bekemeyer·Mar 24, 2026
To approximate solutions of complex nonlinear partial differential equations remains a computational challenge, especially for sets of equations relevant in industry, such as Euler or Navier-Stokes equations. Even the most sophisticated computational...
Local and Global Master Equations through the Lens of Non-Hermitian Physics
Grazia Di Bello, Fabrizio Pavan, Vittorio Cataudella +1 more·Mar 24, 2026
We investigate the relation between non-Hermitian Hamiltonian and Lindblad dynamics in nonequilibrium open quantum systems. Non-Hermitian models can extend phase diagrams and enable sensing advantages, but such effects often rely on postselection, ra...
RC-HEOM Hybrid Method for Non-Perturbative Open System Dynamics
Po-Rong Lai, Jhen-Dong Lin, Yi-Te Huang +3 more·Mar 24, 2026
The Hierarchical equations of motion (HEOM) method is an important non-perturbative technique, allowing numerically exact treatment of open quantum systems with strong coupling and non-Markovian memory. However, its encoding of bath memory into auxil...
Global Optimization for Parametrized Quantum Circuits
Iosif Sakos, Antonios Varvitsiotis, Georgios Korpas +1 more·Mar 23, 2026
In the absence of error correction, noisy intermediate-scale quantum devices are operated by training parametrized quantum circuits (PQCs) so as to minimize a suitable loss function. Finding the optimal parameters of those circuits is a hard optimiza...
Model selection in hybrid quantum neural networks with applications to quantum transformer architectures
Harsh Wadhwa, Rahul Bhowmick, Naipunnya Raj +3 more·Mar 23, 2026
Quantum machine learning models generally lack principled design guidelines, often requiring full resource-intensive training across numerous choices of encodings, quantum circuit designs and initialization strategies to find effective configuration....
Evidential Quantum Vertical Federated Learning
Hao Luo, Zhiyuan Zhai, Qianli Zhou +3 more·Mar 22, 2026
Quantum federated learning (QFL) has recently emerged as a promising paradigm for privacy-preserving collaborative learning, yet most existing studies focus on horizontal federated learning and ignore the vertical federated learning (VFL), where part...
Collective Dynamics in Circuit Quantum Acoustodynamics with a Macroscopic Resonator
Libo Zhang, Chilong Liu, Guixu Xie +9 more·Mar 21, 2026
Collective dynamics in engineered quantum systems offer a unique and versatile platform for exploring how many-body correlations bridge microscopic entanglement and macroscopic behavior. In this work, we report collective Dicke dynamics of acoustic m...
Antenna Array Beamforming Based on a Hybrid Quantum Optimization Framework
Shuai Zeng·Mar 20, 2026
This paper proposes a hybrid quantum optimization framework for large-scale antenna-array beamforming with jointly optimized discrete phases and continuous amplitudes. The method combines quantum-inspired search with classical gradient refinement to ...
Linear-optical generation of hybrid GKP entanglement from small-amplitude cat states
Shohei Kiryu, Yohji Chin, Masahiro Takeoka +1 more·Mar 20, 2026
Hybrid bosonic codes combining bosonic codes with photon states offer a promising pathway for fault-tolerant quantum computation. However, the efficient generation of such states in optical setups remains technically challenging due to the requiremen...
First principles characterization of spinterfaces between magnetic Cobaltocene molecule and 2D magnets (CrI$_3$, Fe$_3$GeTe$_2$)
Nikola Machacova, Biplab Sanyal·Mar 19, 2026
In this paper, we examine the properties of spin-polarized interfaces consisting of single-molecule magnet bis(cyclopentadienyl)cobalt(II) (cobaltocene) and two-dimensional magnetic materials, semiconducting CrI$_3$ and metallic Fe$_3$GeTe$_2$, using...
Ultrastrong Coupling and Coherent Dynamics in a Gate-Tunable Transmon Qubit
I. Casal Iglesias, F. J. Matute-Cañadas, G. O. Steffensen +10 more·Mar 19, 2026
Ultrastrong light-matter coupling (USC) gives access to exotic quantum phenomena and promises faster quantum gates, yet coherent time-domain control in this regime remains largely unexplored. Here, we realize USC in a hybrid system consisting of an I...
Quantum and classical approaches to the optimization of highway platooning: the two-vehicle matching problem
Chinonso Onah, Agneev Guin, Carsten Othmer +2 more·Mar 19, 2026
Aerodynamic drag reduction on highways through vehicle platooning is a well-known concept, but it has not yet seen systematic uptake, arguably because of significant technological and legislative obstacles. As a low-tech entry point to real multi-veh...
Simulating Supersymmetric Quantum Mechanics Using Variational Quantum Algorithms
John Kerfoot, David Schaich, Emanuele Mendicelli·Mar 19, 2026
The study of spontaneous supersymmetry breaking (SSB) on the lattice is obstructed by a severe sign problem. Quantum computing provides a promising alternative approach. In particular, properties of supersymmetry relate SSB to the ground-state energy...
An HHL-Based Quantum-Classical Solver for the Incompressible Navier-Stokes Equations with Approximate QST
Moshe Inger, Steven Frankel·Mar 18, 2026
In computational fluid dynamics (CFD), the numerical integration of the Navier-Stokes equations is frequently constrained by the Poisson equation to determine the pressure. Discretization of this equation often results in the need to solve a system o...
The Convergence Frontier: Integrating Machine Learning and High Performance Quantum Computing for Next-Generation Drug Discovery
Narjes Ansari, César Feniou, Nicolaï Gouraud +13 more·Mar 18, 2026
Integrating quantum mechanics into drug discovery marks a decisive shift from empirical trial-and-error toward quantitative precision. However, the prohibitive cost of ab initio molecular dynamics has historically forced a compromise between chemical...